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Predicting the Required Number of Training Samples
June 1983 (vol. 5 no. 6)
pp. 664-667
H. M. Kalayeh, Object Recognition Systems, Inc., Princeton, NJ 08540.
D. A. Landgrebe, Engineering Experiment Station, Purdue University, West Lafayette, IN 47906.
In this paper a criterion which measures the quality of the estimate of the covariance matrix of a multivariate normal distribution is developed. Based on this criterion, the necessary number of training samples is predicted. Experimental results which are used as a guide for determining the number of training samples are included.
Citation:
H. M. Kalayeh, D. A. Landgrebe, "Predicting the Required Number of Training Samples," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, no. 6, pp. 664-667, June 1983, doi:10.1109/TPAMI.1983.4767459
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